5 resultados para Online measures
em Aston University Research Archive
Resumo:
Cultural institutions in the UK are repositories of a wealth of historical material. The scholarly importance of such resources is at the basis of the numerous digitisation projects aimed at widening their access worldwide. The lack of national policies has left those institutions alone in engaging in dissemination activities and in raising awareness of their own online material. Of particular interest to the author are the digital special collections hosted in the English Universities. The main activities of these institutions differ from others, such as museums, archives and public libraries, as they do not have the main institutional duties of preserving and the exploiting of their holdings. This article highlights related issues and suggests some of the possible measures to effectively promote and disseminate universities’ online digital special collections.
Resumo:
Cultural institutions in the UK are repositories of a wealth of historical material. The scholarly importance of such resources is at the basis of the numerous digitisation projects aimed at widening their access worldwide. The lack of national policies has left those institutions alone in engaging in dissemination activities and in raising awareness of their own online material. Of particular interest to the author are the digital special collections hosted in the English Universities. The main activities of these institutions differ from others, such as museums, archives and public libraries, as they do not have the main institutional duties of preserving and the exploiting of their holdings. This article highlights related issues and suggests some of the possible measures to effectively promote and disseminate universities’ online digital special collections.
Resumo:
This project is focused on exchanging knowledge between ABS, UKBI and managers of business incubators in the UK. The project relates to exploitation of extant knowledge-base on assessing and improving business incubation management practice and performance and builds on two earlier studies. It addresses a pressing need for assessing and benchmarking business incubation input, process and outcome performance and highlighting best practice. The overarching aim of this project was to obtain proof-of-concept for a business incubation performance assessment and benchmarking online tool, fine-tune it and put it in use by nurturing a community of business incubation management practice, aligned by the resultant tool. The purpose was to offer an appropriate set of measures, in areas identified by relevant research on business incubation performance management and impact as critical, against which: 1.The input and process performance of business incubation management practice can be assessed and benchmarked within the auspices of a community of incubator managers concerned with best practice 2.The outcome performance and impact of business incubators can be assessed longitudinally. As such, the developed online assessment framework is geared towards the needs of researchers, policy makers and practitioners concerned with business incubation performance, added value and impact.
Resumo:
We present a novel analysis of the state of the art in object tracking with respect to diversity found in its main component, an ensemble classifier that is updated in an online manner. We employ established measures for diversity and performance from the rich literature on ensemble classification and online learning, and present a detailed evaluation of diversity and performance on benchmark sequences in order to gain an insight into how the tracking performance can be improved. © Springer-Verlag 2013.
Resumo:
This paper presents a model for measuring personal knowledge development in online learning environments. It is based on Nonaka‘s SECI model of organisational knowledge creation. It is argued that Socialisation is not a relevant mode in the context of online learning and was therefore not covered in the measurement instrument. Therefore, the remaining three of SECI‘s knowledge conversion modes, namely Externalisation, Combination, and Internalisation were used and a measurement instrument was created which also examines the interrelationships between the three modes. Data was collected using an online survey, in which online learners report on their experiences of personal knowledge development in online learning environments. In other words, the instrument measures the magnitude of online learners‘ Externalisation and combination activities as well as their level of internalisation, which is the outcome of their personal knowledge development in online learning.